
Data Engineering Lead
8 hours ago
We are seeking a highly skilled data professional to lead our cloud-based data engineering initiatives. The successful candidate will be responsible for designing, developing, and maintaining large-scale data processing systems on the Amazon Web Services (AWS) platform.
Key Responsibilities:- Design and develop scalable and efficient data pipelines using AWS services such as S3, Lambda, and Glue.
- Collaborate with cross-functional teams to integrate data engineering solutions with business requirements.
- Develop and maintain high-quality code in Python and other programming languages.
- Ensure data security, integrity, and compliance with regulatory requirements.
- 3-5 years of experience in data engineering with a focus on AWS.
- Strong understanding of cloud-based architectures and data processing technologies.
- Proficiency in Python, PySpark, and Databricks.
- Excellent communication and collaboration skills.
The ideal candidate will have a strong passion for innovation, a commitment to excellence, and a desire to work collaboratively as part of a high-performing team.
Responsibilities will include:
* Designing and implementing scalable data architectures to meet business needs
* Collaborating with stakeholders to gather requirements and define project scope
* Developing and maintaining high-quality code to ensure data accuracy and reliability
* Staying up-to-date with emerging trends and technologies in data engineering
* Providing expertise and guidance to junior team members
We offer a competitive salary and benefits package to attract and retain top talent. If you are a motivated and experienced data engineer looking for a new challenge, please submit your application.
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